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ESRI Osebne zbirke geodata v QGIS 2.6

ESRI Osebne zbirke geodata v QGIS 2.6


Imam težavo pri nalaganju katere koli osebne zbirke geodetov ESRI v QGIS 2.6. Imam številne datoteke, ki so delovale v QGIS 2.4 in po nadgradnji jih ne morem odpreti v 2.6.

To sem poskusil z namestitvami, ki temeljijo na samostojnem namestitvenem programu in namestitvenem programu OSGEO4W.

Vpliva na geodatabase, ustvarjene v Arc 9.2, 9.3 in 10.0

Je kdo naletel na to težavo? Ali pogrešam nekaj očitnega?


Pri nalaganju osebne zbirke geodatov ESRI v QGIS ne pozabite klikniti na "Baza podatkov" za vrsto vira namesto na standardno možnost "Datoteka". Nato bi morala biti ESRI Personal Geodatabase navedena v vrsti Database, kot je razvidno iz prikazanega posnetka zaslona.

Upam, da to pomaga.


Tu sem objavil odgovor na podobno vprašanje, zdi se, da to vprašanje pritegne nekaj ljudi.

Odpiranje Esri Personal Geodatabase (* .mdb) z uporabo QGIS?


ESRI-jeve zbirke osebnih geodatov v QGIS 2.6 - Geografski informacijski sistemi

Pokličite nas ali kadar koli pokličite, na vsa vprašanja bomo poskušali odgovoriti v 24 urah v delovnih dneh.

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AI GIS & # 8211 Umetna inteligenca in GIS

Umetna inteligenca je naredila velik korak, ki se je neodvisno pojavil v GIS. V zadnjih desetih letih se je GIS in AI znatno zbližal. GIS je občudovana tehnologija, ki ponuja veliko naborov podatkov in širok obseg aplikacij za AI. Nedavni projekti so bili zasnovani za proučitev in primerjavo različnih tehnik za napovedno modeliranje porazdelitev geografskih pojavov.


7 najboljših prenosnikov za GIS (geografski informacijski sistem) v letu 2020

NeImeProcesorOvenCena
1Acer Aspire E15Intel Core i7-8550U8 GB DDR3 Preveri ceno
2MSI GL62MIntel Core i7-7700HQ 8 GB DDR4 Preveri ceno
3Dell Inspiron i5577Intel Core i7-7700HQ 8 GB DDR4 Preveri ceno
4Asus Vivobook SIntel Core i7-8550U8 GB DDR4 Preveri ceno
5Acer Predator Helios 300Intel Core i7-7700HQ 16 GB DDR4 Preveri ceno
6Lenovo Legion Y520Intel Core i7-7700HQ 16 GB DDR4 Preveri ceno
7Microsoft Surface ProIntel Core i5-6300U8 GB LPDDR3 Preveri ceno

Poleg tega so ti prenosniki cenovno ugodni, torej imajo najboljše specifikacije z nizkimi cenami.


Posodobljeno za uporabo z ArcGIS (R) Pro 2.6


GIS Tutorial za ArcGIS Pro 2.6 je uvodni delovni zvezek za učenje geografskih informacijskih sistemov z ArcGIS Pro, vodilno profesionalno namizno aplikacijo za geografski informacijski sistem (GIS) podjetja Esri. Izkoreninjen v znanosti o geografiji, je GIS okvir za zbiranje, upravljanje in analizo podatkov z uporabo vizualizacij zemljevidov in lokacijske inteligence. Uporaba ArcGIS Pro za te naloge vam omogoča razumevanje zapletenih podatkov z vodilno programsko opremo GIS, ki jo vsakodnevno uporabljajo številna podjetja, organizacije in ustanove.


Vodič za GIS za ArcGIS Pro 2.6, zasnovan za uporabo v učilnicah ali za tiste, ki se učijo samostojno, se v vsakem poglavju poglobi v koncepte GIS in praktične lekcije za lahek vodnik za učenje GIS in ArcGIS Pro. Ta knjiga vam z uporabo preizkušenih učnih metod prikazuje, kako ustvarjati zemljevide, ustvarjati in analizirati prostorske podatke ter upravljati operativne sisteme z GIS. Postopne vaje uporabljajo ArcGIS Pro skupaj z ArcGIS Online, ArcGIS StoryMaps, ArcGIS Dashboards in ArcGIS Collector ter odseki & # 034Your Turn & # 034, kjer s pomočjo podatkov iz resničnega sveta podkrepite naučeno. Za vsakogar so na voljo tudi brezplačna video predavanja in diapozitivi, ki zajemajo celotno knjigo.


Napisali so ga avtorji najbolje prodajane vaje 1 za GIS: Osnovni delovni zvezek, Vodič za GIS za zdravje in Vadnice za analizo kriminala, GIS Vadnica za ArcGIS Pro 2.6 je popoln vir za učenje in poučevanje ArcGIS Pro v projektih GIS.
Pokaži več


Programska oprema

Programska oprema za GIS, ki jo uporablja večina oddelkov v Michigan Tech, je ArcGIS, podjetje esri. ArcGIS Pro različica 2.6 je na voljo v vseh odprtih laboratorijih Michigan Tech & # 8217s kot del aplikacije Anywhere. Njihov starejši programski paket, ArcMap in ArcCatalog, je na voljo tudi v odprtih laboratorijih. Trenutna različica - ArcGIS 10.8.1 - je nameščena za jesen 2020.

Naša licenca za spletno mesto omogoča namestitev programske opreme esri na kateri koli računalnik v lasti univerze. To vključuje stroje v fakultetah, osebju in pisarnah podiplomskih študentov. Programska oprema Esri se lahko uporablja za poučevanje, raziskovanje ali upravljanje, ne pa tudi za svetovanje ali drugo profitno delo.

Če želite urediti namestitev ArcGIS v svoji pisarni na računalniku, ki ga upravlja IT, se obrnite na službo za pomoč na 7-1111 ali pošljite e-pošto na pomoč.

Programsko opremo esri z licenco spletnega mesta je zdaj mogoče namestiti tudi v domače računalnike ali osebne prenosnike za akademsko uporabo. Za podrobnosti glejte spodaj.

Kako prenesti ArcGIS Pro za pisarniško ali študentsko uporabo

Več tečajev v Michigan Tech prehaja na uporabo ArcGIS Pro za inštrukcije. Če potrebujete ArcGIS Pro, ki je nameščen v pisarni ali laboratoriju in nimate samodejnega stroja, se obrnite na it-help.

Če želite kopijo ArcGIS Pro za svoj računalnik, je medij na voljo pri google pogon. Različica 2.6.3 je najnovejša. Navodila za prenos, namestitev in licenciranje so tukaj.

Za dostop do te programske opreme boste morali biti prijavljeni v Google s svojimi poverilnicami za Michigan Tech SSO.

Kako licencirati ArcGIS Pro na osebni napravi

Za vse uporabnike kampusa z veljavno prijavo v Michigan Tech SSO smo imenovali licenciranje uporabnikov, nastavljeno za ArcGIS Pro. Licenca z imenovanim uporabnikom pomeni, da vam ni treba namestiti licence in je ni treba vsako leto posodabljati, saj je vaša licenca na voljo prek prijavnih poverilnic. Navodila za konfiguriranje licenciranja z imenovanimi uporabniki so v drugem delu teh navodila. Isti postopek prijave bo deloval za ArcGIS Online. Navodila za prijavo, specifična za ArcGIS Online, so tukaj.

Kako dostopati do ArcGIS Online

ArcGIS Online je esri & # 8217s spletni GIS in je dobro integriran z ArcGIS Pro in ArcMap. Osebe, povezane z Michigan Tech (fakultete, osebje in trenutno vpisani študenti), imajo dostop do ArcGIS Online prek prijave v sistem SSO. Podrobna navodila za prijavo, specifična za ArcGIS Online, so tukaj.

Nekatere operacije v storitvi ArcGIS Online use kreditov. Sem spadajo nekatere vrste prostorske analize, geokodiranje podatkov o naslovih, dostop do nekaterih podatkovnih slojev in shranjevanje podatkov. Vsem uporabnikom se dodeli 150 kreditnih točk na leto, krediti pa se obnovijo vsak marec. Če vas zanima, kakšno uporabo lahko pričakujete, si oglejte seznam premium storitev (pod & # 8220krediti po zmogljivosti & # 8221) in preberite & # 8220nasveti za vse& # 8221 tukaj. Orodja za geoprocesiranje v ArcGIS Pro imajo a kreditni ocenjevalec na voljo, ki jih lahko preverite pred zagonom orodja.

Kako prenesti ArcGIS (ArcMap) za osebno uporabo

ArcGIS 10.8.1 je najnovejša različica ArcMap in je nameščena v odprtih laboratorijih v Campusu. Izvedljivi namestitveni programi so veliki in jih je zato treba prenesti s širokopasovne povezave. Naložiti morate le ArcGIS_Desktop_1081_175122.exe & # 8211, druge datoteke so dodatki, ki ste jih osvojili in jih # 8217t potrebujete, razen če opravljate napredne naloge. Podrobna navodila za prenos in namestitev so na voljo tukaj.

Pred prenosom katere koli od teh datotek boste morali biti prijavljeni v Google s svojimi poverilnicami za Michigan Tech SSO, saj so v skupni rabi z Google Drive.

Kako licencirati ArcMap

Datoteka z licenco za ArcMap je skupaj z navodili za aktiviranje na voljo v imeniku za prenos ArcGIS 10.8 (glej & # 8220Licenciranje ArcMap 10.1-10.8 & # 8220). Ista navodila in licenčna datoteka bodo delovala za katero koli različico ArcGIS, izdaja 10.1 ali novejša. Licenca velja za enako obdobje kot licenca za naš kampus, zato jo bo treba posodobiti konec februarja.

Aktiviranje nove licence za naslednja leta NE zahteva ponovne namestitve programske opreme!

Sistemske zahteve ArcGIS

Programska oprema ArcGIS deluje samo na platformi Microsoft Windows (Windows 8 ali Windows 10). Če imate sistem Macintosh ali Linux, boste potrebovali neko vrsto programske opreme za virtualizacijo (VMWare Fusion, Parallels Desktop ali Virtual Box ) z nameščeno najnovejšo različico sistema Windows.

Celoten seznam zahtev za strojno in programsko opremo, potrebnih za zagon zbirke ArcGIS, je na voljo pri ESRI. Če ne želite kupiti kopije sistema Windows, je večina trenutno vpisanih študentov Michigan Tech prek univerzitetnega in distribucijskega centra za programsko opremo na voljo ena licenca.

Google Zemlja

Google Earth Pro je nameščen v vseh odprtih računalniških laboratorijih. Lahko se doda tudi računalnikom za fakultete in zaposlene. Če vas zanima, se obrnite na službo za pomoč uporabnikom, da se dogovorite za namestitev. Brezplačno različico programa Google Earth je mogoče dobiti na spletnem mestu http://earth.google.com/, od pomladi 2015 pa Google podarja Pro različico programa Google Earth! (za podrobnosti glej to povezavo)

Programska oprema GPS

DNRGPS, ki ga Minnesota DNR zagotavlja na podlagi brezplačne licenčne pogodbe, je nameščen v odprtih laboratorijih. Ta programska oprema omogoča prenos podatkov GPS iz Garminove (in številnih drugih modelov) GPS enote v vaš računalnik. Podatke, ki jih zbere GPS, lahko shrani tudi v datoteke, združljive z ArcGIS (razred funkcij .shp ali geodatabase) in Google Earth (.kml). Upoštevajte, da DNRGPS pogosto zamuja, preden je popolnoma integriran z ArcGIS, zaradi rednih sprememb kode s strani esri. Če imate težave med nameščenima različicama DNRGPS in ArcGIS, DNRGPS dobro deluje kot samostojna aplikacija. Več informacij je na spletnem mestu DNRGPS, nasvete za uporabo DNRGPS pa najdete v razdelku & # 8220Kako do & # 8221 tega spletnega mesta. DNRGPS bo deloval brez administrativne namestitve (lahko ga zaženete iz bliskovnega pogona ali domačega pogona). Vadbeno gradivo za DNRGarmin bo v bližnji prihodnosti prepisano za DNRGPS. Če medtem potrebujete pomoč pri DNRGPS, se obrnite na službo za pomoč uporabnikom in poslali mi bodo zahtevo. FYI & # 8211s uradni predvideni koordinatni sistem države Michigan (Michigan GeoRef) DNRGPS različice 6.0.0.15 NE obravnava pravilno zaradi napak v različici odprtokodne programske opreme GDAL / PROJ, ki jo uporablja. Te težave so odpravljene v različicah DNRGPS 6.1.0.4 in 6.1.0.6 (objavljene maja in junija 2014). Eno opozorilo & # 8211 obstaja več definicij za projekcijo Michigan Georef (Michigan Oblique Mercator), pri koordinatah pa se lahko še vedno zgodi nekaj čudnega vedenja, odvisno od definicije, ki jo uporabite. Predlagam, da dvojno (in morda trojno) preverite koordinatne pare, preden jih delite z drugimi ali se odpravite na terensko delo.

Druga programska oprema

Obstaja veliko drugih programov za GIS in GPS. Sem spadajo aplikacije za brezplačno in odprtokodno programsko opremo (FOSS) ter bolj specializirana programska oprema za GPS in obdelavo slik. Ker nimamo licenc za takšno programsko opremo ali se ne uporabljajo za poučevanje, se posvetujte s svojim inštruktorjem, če potrebujete podporo za druge pakete. Če & # 8217d vam je všeč brezplačen program GIS, s katerim lahko eksperimentirate, je priporočljiv QGIS. Na voljo so namestitveni programi za Linux, Windows in Macintosh. QGIS 3.16 je trenutna izdaja.


Ustvarjanje mbtilov iz slike

V številnih e-poštnih sporočilih sem bil vprašan, kako ustvariti zemljevid brez povezave iz geo-referenčne slike. Upoštevajte ta članek, da iz slike ustvarite datoteko .mbtiles, pripravljeno za uporabo z MapIt. Za dosego cilja uporabljamo odprtokodno programsko opremo.

    (primeri so prikazani v QGIS 2.6)
  • optično prebrani zemljevid v JPG, PNG ali v datoteki TIFF (v tem primeru sem uporabil zemljevid Kilimandžara, ki je na voljo na flickr: https://www.flickr.com/photos/mouser-nerdbot/4696324388/), da bi ustvaril .mbtiles datoteka.

Sledite spodnjim korakom, da dobite zemljevid brez povezave Kilimandžaro v obliki, združljivi z MapIt:

1. Odprite qGIS in odprite vtičnik Georeferencer, kot je prikazano spodaj:

vtičnik qGIS Georeferencer

2. Dodajte svojo sliko v vtičnik in nastavite prostorski sklic - # 8211 lahko uporabite tipkanje filtra 4326 v polje za filtriranje.

Za svojo sliko izberite prostorski sklic WGS84

3. Izbira georeferenčnih točk.

Glede na vrsto slike lahko uporabite 4 ali več točk za georeferenciranje slike.
Povečajte v zgornji desni kot in dodajte točko, nato vnesite zemljepisno dolžino in širino te lokacije:

Dodaj lat, lon za slikovni kotiček.

Dodajte še 3 točke. Prepričajte se, da delate diagonalno. V našem primeru bi bilo to: zgornji levi, spodnji desni, zgornji desni, spodnji levi. To bo zmanjšalo težave glede na vidnost zemljevida med georeferenciranjem.

Georeferenčne točke, dodane na sliko.

4. Nastavitve preoblikovanja

Preden sliko georeferenciramo, pojdite v Nastavitve in nastavite nastavitve preoblikovanja, kot je prikazano na spodnji sliki:

Georeferencirajte nastavitve preoblikovanja slike in # 8211

5. Georeferencirajte sliko in jo dodajte v pogled zemljevida qGIS, da preverite, ali je vse v redu. Pojdite na uporabljena križišča dolžin in zemljepisnih širin in prikazane koordinate primerjajte z želenimi koordinatami. Če se prilegajo, ste končali in pripravljeni na naslednji korak.

6. Preden uporabimo sliko v Maperitive, moramo datoteko wld (ustvarjeno med zgoraj navedenim postopkom na istem mestu kot slika) pretvoriti v datoteko georef, ki jo uporablja Maperitive.

Prepričajte se, da število decimalnih mest za velikost celice ni & gt17 v datoteki georef, sicer se bo Maperitive pritožil.

Pretvorba svetovne datoteke (wld) v datoteko georef

Vsebina svetovne datoteke:

0.00012082694840728
0
0
-0.00012226615739132
37.11882655590969193
-2.90009944643156192

vsebina datoteke georef:

8. Odprite Maperitive in vnesite ukaz:

load-image file = Podatki kilimanjaro.png background = false

Maperitivna obremenitvena slika Georeferencirana datoteka naložena v Maperitive

9. Ustvari datoteko .mbtiles & # 8211 vnesite spodnji ukaz in po potrebi spremenite stopnje povečave:

generiraj-mbtiles minzoom = 0 maxzoom = 15

10. preimenujte ustvarjeno datoteko v poljubno ime:

11. Kopirajte datoteko na pomnilniško kartico naprave v mapo MapIt- & gtOfflineMaps:

12. Če imate razširitev MapIt za zemljevide brez povezave, bo vaš zemljevid na voljo in pripravljen za uporabo & # 8211 uživajte & # 8230

Zemljevid brez povezave v aplikaciji MapIt.


Predgovor¶

Dobrodošli v čudovitem svetu geografskih informacijskih sistemov (GIS)!

QGIS je odprtokodni geografski informacijski sistem. Projekt se je rodil maja 2002 in je bil ustanovljen kot projekt na SourceForge junija istega leta. Prizadevali smo si, da bi programska oprema GIS (ki je tradicionalno draga lastniška programska oprema) izvedljiva možnost za vse, ki imajo osnovni dostop do osebnega računalnika. QGIS trenutno deluje na večini Unixovih platform, Windows in OS X. QGIS je razvit z uporabo orodij Qt (http://qt.digia.com) in C ++. To pomeni, da se QGIS počuti hitro in ima prijeten, enostaven za uporabo grafični uporabniški vmesnik (GUI).

QGIS želi biti uporabniku prijazen GIS, ki ponuja skupne funkcije in funkcije. Prvotni cilj projekta je bil zagotoviti pregledovalnik podatkov GIS. QGIS je v svojem razvoju dosegel točko, ko ga mnogi uporabljajo za vsakodnevne potrebe po ogledu podatkov GIS. QGIS podpira številne rastrske in vektorske formate podatkov, pri čemer je podpora za novo obliko enostavno dodana z uporabo arhitekture vtičnikov.

QGIS je izdan pod splošno javno licenco GNU (GPL). Razvoj QGIS po tej licenci pomeni, da lahko pregledate in spremenite izvorno kodo ter jamčite, da boste imeli vi, naš srečni uporabnik, vedno dostop do brezplačnega GIS programa, ki ga je mogoče prosto spreminjati. Morali bi prejeti celotno kopijo licence s svojo kopijo QGIS, prav tako pa jo najdete v dodatku Splošna javna licenca GNU.


GIS2 pri Ryersonu

Letno srečanje Združenja ameriških geografov (AAG) za leto 2015 v Chicagu že zdavnaj ni dovolj časa za povzetek ključnih lekcij in pomembnih idej, ki so jih domov odnesli s treh visokoenergijskih konferenčnih dni.

Izbira sej, ki se jih boste udeležili, je bil prvi večji izziv, saj je bilo v mnogih časovnih terminih načrtovanih več kot devetdeset (90!) Vzporednih sej. Svoj program sem sestavil na podlagi predstavitev Ryersonovih kolegov in študentov (https://gis.blog.ryerson.ca/2015/04/17/ryerson-geographers-at-aag-2015/) ter predstavitev kolegov in študentov projekta Geothink (http://geothink.ca/american-associaton-of-geographers-aag-2015-an Year-meeting-geothink-program-guide/), pa tudi s pregledovanjem seznama predstaviteljev in iskanjem sponzoriranih sej z izbranimi posebnimi skupinami AAG (zlasti GIScience in Kartografija). Izvlečke predstavitev, omenjenih v tem blogu, najdete v programu & # 8220preliminarni & # 8221 na konferenci http://meridian.aag.org/callforpapers/program/index.cfm?mtgID=60.

Ob prihodu sem bil navdušen nad velikostjo in bogastvom industrijske in prometne infrastrukture v Chicagu ter obsegom osrednjega poslovnega okrožja, kot je razvidno iz letališkega vlaka in med sprehodom po središču mesta.

Moja konferenca se je začela dne Sreda, 22. aprila 2015, s sejo 2186 & # 8220 Kartografija v učilnici in zunaj nje: trenutne izobraževalne prakse & # 8220. Pontus Hennerdal z univerze v Stockholmu je v raznolikih predstavitvah predstavil poskus z računalniško igrico, podobno golfu, ki se igra na Mercatorjevem svetovnem zemljevidu, da bi otrokom pomagal razumeti projekcije zemljevidov. Pontus se je skliceval tudi na vprašanje & # 8220navzdržnost svetovnih zemljevidov & # 8221 z uporabo animiranega filma, ki je na voljo na njegovi domači strani na naslovu http://www.su.se/profiles/poer5337-1.188256. V drugi predstavitvi je Jeff Howarth s Middlebury College ocenil razmerje med veščinami prostorskega mišljenja študentov in njihovo sposobnostjo učenja GIS. To raziskavo je spodbudil anonimni komentar študentov o zaznani razdelitvi predavanj GIS na tiste študente, ki & # 8220 ga dobijo & # 8221 v primerjavi s tistimi, ki ne & # 8217t. Jeff ugotavlja, da prostorsko razmišljanje skupaj s spretnostmi orientacije, vizualizacije in občutka za smer usmerja študente k uspehu na tečajih STEM (znanost, tehnologija, inženirstvo, matematika), vključno z GIS. Nato je bila Cindy Brewer, vodja oddelka za geografijo na Penn State University, s pregledom dodatkov in sprememb 2. izdaje svoje knjige Esri Press & # 8220Designing Better Maps & # 8221. Četrto predstavitev je imel David Fairbairn iz Newcastla, predsednik Komisije za izobraževanje in usposabljanje Mednarodnega kartografskega združenja. David je globalno preučil akreditacijo študijskih programov, povezanih s kartografijo, in nekoliko presenetljivo poročal o svoji ugotovitvi, da kartografije morda ne štejemo za poklic in bi akreditacija prinesla več slabosti (vključno z upravljanjem, odgovornostjo, ovirami za napredek) kot koristi za disciplino . Na koncu je na oder stopil Kenneth Field iz Esrija, ki je razpravljal o dojemanju in napačnih predstavah kartografije in kartografa. Sem spada zavrnitev policije & # 8220map & # 8221, ko si usposobljeni kartografi upajo kritizirati & # 8220raziskovalno igrive & # 8221 zemljevide, ki so jih ustvarili nekateri današnji izdelovalci zemljevidov (glej mojo objavo na http: //gis.blog.ryerson .ca / 2015/04/04 / about-quick-service-mapping-and-lines-in-the-sand /).

Velik del preostalega srede je bil porabljen v seriji sej & # 8220Zagled nazaj in naprej v participativnem GIS & # 8220. Posebej velja omeniti predstavitvi Renee Sieber, profesorice mnogih stvari v McGillu in vodje Geothink SSHRC Partnership Grant (http://www.geothink.ca), in Mikea McCalla, starejšega raziskovalca na Universidad Nacional Autonoma de Mexico. Renee je kot ponavadi spodbudno spregovoril o & # 8220frekcijski državljanski udeležbi & # 8221. Opaža, kako vedno enostavnejša orodja za množično izvajanje zmanjšujejo interakcije med vlado in državljani na odnose s strankami, sodelovanje pa postaja izdelek, ki ga zagotavljajo učinkovito, ne pa demokratični proces, ki državljane smiselno vključuje. Mike je govoril o razvoju participativnega GIS-a (PGIS) v času prostovoljnih geografskih informacij (VGI) in množičnega izvajanja, pri čemer se je zavzel za operativno uporabo VGI znotraj PGIS. Seja je vključevala tudi kratko razpravo med člani občinstva in predstavitelji o potrebi po osnovnih zemljevidih ​​ali posnetkih kot ozadju za PGIS & # 8211 zanimivo vprašanje, saj se z mojimi študenti trdimo, da bo & # 8220seed content & # 8221 pomagal ustvarijo smiselno razpravo in tako presežejo samo osnovni zemljevid. Na koncu dve misli, ki jih je izpostavil Muki Haklay z University College London: Glede na & # 8220GIS šoferje & # 8221 zgodnjih projektov PGIS je vprašal, ali še naprej potrebujemo takšne moderatorje v času brez trenja Reneeja Sieberja? Opazil je, da je moč tiskanega zemljevida, ki ga prinesejo na sestanek za razvoj skupnosti, še vedno nesporna. Obsežne surove opombe Muki & # 8217 s konference AAG lahko najdete na njegovem blogu na naslovu https://povesham.wordpress.com/.

Popoldne sem prispel na sejo 2478, ki je slavila prispevek Davida Huffa v uporabni geografiji in poslu. Moj kolega Tony Hernandez je vodil in soorganiziral sejo, na kateri so se Tony Lea, višji podpredsednik za raziskave okolice Analytics iz Toronta in inštruktor v našem programu Master of Spatial Analysis (MSA), ter drugi poslovni geografi poklonili modelu Huff za napovedovanje potrošniškega & # 8217 prostorskega vedenja (na primer verjetnost pokroviteljstva določenih lokacij trgovin). Prisotni so bili tudi člani družine Huff, ki so se spomnili moškega za manekenko, ki je umrl poleti 2014. Pisni poklon Tonyja Lea lahko najdete na http://www.environicsanalytics.ca/footer/news/2014/09 / 04 / a-tribute-to-David-huff-the-man-and-the-model.

Na mojem dnevnem redu je bilo tudi potovanje na razstavo prodajalcev AAG, kjer sem z veseljem videl svojo knjigo & # 8211 & # 8220Multicriteria Analysis Analysis in Geographic Information Science & # 8221 & # 8211 v kabini Springer!

Četrtek, 23. aprila 2015, začela s sejo ob 8. uri na temo & # 8220Prostorni veliki podatki in vsakdanje življenje & # 8220. V mešani torbi predstavitev je Till Straube z univerze Goethe v Frankfurtu vprašal & # 8220Kje so veliki podatki? & # 8221 Birmingham & # 8217s Agnieszka Leszczynski je trdila, da se spletni uporabniki bolj ukvarjajo z nadzorom svojih osebnih lokacijskih podatkov kot s tem, kako so na koncu uporabljeni Kentucky & # 8217s Matt Wilson je prikazal izbrane primere iz polstoletnih animiranih zemljevidov, ki segajo do meje med vizualizacijo podatkov in umetnostjo. Monica Stephens z univerze v Buffalu je razpravljala o izključitvi podeželja zaradi množičnih podatkov in označila članke na Wikipediji o podeželskih mestih v ZDA kot Mad Libs, ki temelji na podatkih popisa prebivalstva in na koncu je Edinburgh & # 8217s Chris Speed ​​izvedel samotestiranje IoT, v katerem je preučil vpliv internetno povezanega držala toaletnega papirja na družinsko dinamiko & # 8230

Preostanek četrtka je bil namenjen CyberGIS in novim smernicam pri kartiranju. Panel o & # 8220Frontiers in CyberGIS Education & # 8221 je bil zelo zanimiv, saj so številni izzivi, o katerih so poročali pri poučevanju CyberGIS, resnično stalni izzivi pri poučevanju navadnega GIS-a. Na primer, panelisti Tim Nyerges, Wenwen Li, Patricia Carbajalas, Dan Goldberg in Britta Ricker so ugotovili, da je težko pridobiti dodiplomske študente, da se udeležijo več kot enega ali dveh zaporednih tečajev GIS, izziv poučevanja naprednih konceptov GIS, kot sta podjetniški GIS in CyberGIS ( kar razumem kot GIS kot storitev) in naravo geografije kot & # 8220diskovarskega predmeta & # 8221, tj. programa, ki privlači napredne študente, ki se spopadajo s svojimi izvirnimi predmeti. Eden od sklepnih komentarjev skupine CyberGIS je bil poziv k razvoju interdisciplinarnega, podatkovno osredotočenega programa & # 8211 ASU & # 8217s GIScience program.

Nato sem ujel prvo od dveh plošč na & # 8220Nova navodila v mapiranju & # 8220, ki so jih organizirali Stamen & # 8217s Alan McConchie, Britta Ricker iz U Washingtona v Tacomi in Kentucky & # 8217s Matt Zook. Panel, ki ga sestavljajo predstavniki industrije, ki jo imenujem & # 8220quick-service mapping & # 8221 (Google, Mapbox, MapZen, Stamen), je govoril o poklicnih kvalifikacijah in njihovih podjetjih & # 8217 v zvezi z akademskim poučevanjem in raziskovanjem. Slišali smo, da ima & # 8220Geography & # 8221 zastarelo konotacijo in zveni staromodno, da se podjetja & # 8220geo & # 8221 izogibajo zapletenosti & # 8220geography & # 8221 in da se geografija šteje za & # 8220niche & # 8221 področje . Predvidevam, da je geografija morda precej preširoka (in & # 8220geo & # 8221 še širša), toda skupaj s komentarjem publike Petra Johnsona & # 8217s (U Waterloo) moram priznati tudi, da ne morate biti geograf, da lahko izdelate zemljevide, tako kot vi ne morate biti matematik, da lahko opravite nekaj izračunov. Nasveti za študente, ki se zanimajo za industrijo hitrih storitev kartiranja, so vključevali razvijanje portfelja, vadbo reševanja problemov in druge mehke veščine ter znanje uporabe platform, kot je GitHub (pred učenjem programiranja). Izrekljiv tvit, ki povzema panelno razpravo:

Zavedajoč se, da so geografi opravili slabše delo, kot sem si mislil, da bom razložil pomembnost našega dela kartirjem v industriji & # 8230 # AAG2015

- Emma Slager (@EmmaSlager) 23. aprila 2015

Četrtek zvečer je bil priložnost za vadbo kartografije burgerjev. Čas je bil za hakaton & # 8220Iron Sheep & # 8221, ki ga je organiziral kolektiv akademskih geografov FloatingSheep. Ekipe petih so dobile divji nabor geolociranih tweetov in kratek 90-minutni časovni okvir, da pripravijo nekaj kul & amp smešnih zemljevidov in osvojijo pokal za najboljši ali najslabši izdelek ali izdelek med njimi. Zanimivo je bilo videti, kako bo skupina neznancev, ki so novi na tekmovanju in nimajo pojma o tem, kako začeti, na koncu izdelala čudovit zemljevid, kot je ta :-)

Moj zadnji dan na AAG 2015, Petek, 24. aprila, je odpotoval s poldnevno tehnično delavnico na temo »Let & # 8217s Talk About Your Geostack«. Štirje aktivni udeleženci so bili izredno pozorni s strani inštruktorja @EricTheise. V bistvu sem šel od nič do 100, kar pomeni, da so bili PostgreSQL, PostGIS, Python, NodeJS in TileMill nameščeni in zagnani na mojem prenosniku - v štirih urah sem dohiteval orodja, o katerih so govorili nekateri moji učenci, in jih uporabljal, v zadnjih nekaj letih!

Popoldne se je pozornost usmerila na OpenStreetMap (OSM) z vrsto sej, ki jih je organiziral Muki Haklay, ki trdi, da OSM upravičuje lastno vejo raziskav OpenStreetMap Studies. Ujel sem drugo sejo, ki se je začela s salzburškim Martinom Loidlom, ki je prikazal pristop v razvoju za odkrivanje in odpravljanje nedoslednosti atributov (oznak) v OSM na podlagi informacij iz nabora podatkov OSM (notranji pristop). Raziskovalec Geothinka Peter Johnson iz UWaterloo je predstavil predhodne rezultate svoje študije o sprejetju OSM (ali njenem pomanjkanju) s strani uslužbencev občinske vlade. V osmih intervjujih s kanadskim mestnim osebjem Peter ni našel niti ene uradne uporabe OSM. Obsežne razprave so sledile naboru štirih predstavitev, zaradi česar je bila zelo informativna seja. Eno temeljnih vprašanj je bilo, ali se OSM dovolj razlikuje od drugih VGI in znanstvenih projektov za državljane, da si zasluži lasten raziskovalni pristop. Čeprav se običajno šteje za enega največjih projektov množičnega preslikavanja, je bilo ugotovljeno, da je udeležba „plitka“ (Muki Haklay), saj ima med 2 milijoni registriranih uporabnikov le 10 tisoč aktivnih uporabnikov. Martin Loidl je opozoril, da je OSM osredotočen na geometrijske podatke, vendar z ravno strukturo in brez standardov, razen tistih, o katerih je bilo dogovorjeno prek wikija OSM. Alan McConchie je dodal opozorilo, da prispevki OSM pridejo na zemljevid le, če so vključeni v datoteke "style", ki se uporabljajo za upodabljanje podatkov OSM. Druga vprašanja, ki jih je sprožil Alan, so bila zasebnost sodelavcev in vprašanja o avtoriteti. Na primer, sodelavci bi se morali zavedati orodij za vizualizacijo in statistiko, ki jih je razvil Pascal Neis na http://neis-one.org/! Opozorili so nas, da je Muki Haklay razvil kodeks sodelovanja za raziskovalce, ki preučujejo OSM (preberite dokumentacijo, aktivno sodelujte, raziskujte podatke, se pogovorite s skupnostjo OSM, objavite odprt dostop, se zavežite k prenosu znanja). Muki je razpravo povzel s predlogom, da bi morali akademiki delovati kot "kritični prijatelji" do skupnosti in projekta OSM. Za uskladitev "študij OSM" z VGI, državljansko znanostjo in participativnim Geowebom bi se skliceval na tipologijo prispevkov uporabnikov, ki so jo razvili Rinner & amp Fast (2014). V tem prispevku dejansko izpostavljamo OSM (skupaj z Wikimapijo) kot aplikacijo za "preslikavo množic", vendar znotraj kontinuuma povezanih aplikacij Geoweb.

Opombe iz #NepalQuake Mapping Sessions @RyersonU Geography

To je kratek opis dveh sej & # 8220 Kartiranje za Nepal & # 8221 na Univerzi Ryerson & # 8217s Oddelek za geografijo in okoljske študije. V prejšnjem prispevku na spletnem mestu http://gis.blog.ryerson.ca/2015/04/27/notes-for-nepalquake-mapping-sessions-ryersonu-geography/ sem za te iste seje zbiral informacije o kartiranju humanitarne pomoči.

Mapathon @RyersonU, Geography & amp Spatial v ponedeljek, 27. aprila 2015, od 10. do 22. ure. 1 (+1) prof., 2 študenta, 3 MSA, 1 doktor znanosti, 1 alumnus so se zbrali dva dni po uničujočem potresu, da bi na zemljevid postavili manjkajoče ceste, zgradbe in vasi v Nepalu s pomočjo humanitarne ekipe OpenStreetMap & # 8217s (HOT) upravitelj opravil. Zahvaljujem se diplomantu MSA Kamalu Paudelu za pobudo in soorganizacijo tega in naslednjih srečanj.

Mapathon @RyersonU, Geography & amp Spatial v nedeljo, 3. maja 2015, od 16.00 do 20.00. Naš drugi nepalski mapaton je združil skupno 15 prostovoljcev, vključno z dodiplomskim študentom univerzitetnega univerzitetnega univerzitetnega študijskega programa Geografska analiza in podiplomskim študentom magistrskega študija prostorske analize (MSA) skupaj z diplomanti MSA, prof. To nedeljsko popoldne smo se osredotočili na dokončanje in popravljanje omrežja cest / poti / poti ter dodajanje manjkajočih stavb na zemljevid najbolj prizadetih območij katastrof v Nepalu. Fotografije preko naših tvitov:

Pomoč #NepalQuake olajšave in spoznavanje pomembnosti OpenStreetMap, modeliranja geoprostorskih podatkov in daljinskega zaznavanja amp. pic.twitter.com/1e0mCz0Emr

- Claus Rinner (@ClausRinner) 3. maja 2015

Urejanje HOTOSM v živo v laboratoriju MSA na Univerzi Ryerson-15 Torontonians! Hvala @ClausRinner za organizacijo. #hotosm pic.twitter.com/5Dn9KXHvtB - Kamal Paudel, GISP (@kpaudel) 3. maja 2015

Moja opažanja in razmišljanja pri soorganizaciji in vodenju teh sej ter sodelovanju pri urejanju HOT / OSM:

  • Situacija je poleg tega, da je #EqResponseNp podprla na majhen način, zagotovila neprecenljivo priložnost za učenje za vse vpletene. Večina udeležencev naših sej ni nikoli prispevala k OSM, nekateri pa sploh niso vedeli za njegov obstoj, čeprav so bili študentje geografije ali strokovnjaki GIS. Potem ko so ustvarili račune OSM in prebrali razpoložljivo dokumentacijo za OSM in Nepal, so udeleženci v samo nekaj urah preslikali na stotine točk, črt ali poligonov.
  • The flat OSM data model – conflating all geometries and all feature types in the same file – together with unclear or inconsistent tagging instructions for features such as roads, tracks, and paths challenged our prior experience with GIS and geographic data. Students in particular were concerned about the fact that their edits would go live without “someone checking”.
  • While the HOT task manager and general workflow of choosing, locking, editing, and saving an area was a bit confusing at first, the ID editor used by most participants was found to be intuitive and was praised by GIS industry staff as “slick”.
  • The most recent HOT tasks were marked as not suitable for beginners after discussions among the OSM community about poor-quality contributions, leaving few options for (self-identified) beginners. It was most interesting to skim over the preceding discussion on the HOT chat and mailing list, e.g. reading a question about “who we let in”. I am not sure how the proponent would define “we” in a crowd-mapping project such as OSM.
  • There was a related Twitter #geowebchat on humanitarian mapping for Nepal: “How can we make sure newbies contribute productively?”, on Tuesday, 5 May 2015 (see transcript at http://mappingmashups.net/2015/05/05/geowebchat-transcript-5-may-2015-how-can-newbies-contribute-productively-to-humanitarian-mapping/).
  • The HOT tasks designated for more experienced contributors allowed to add post-disaster imagery as a custom background. I was not able to discern whether buildings were destroyed or where helicopters could land to reach remote villages, but I noticed numerous buildings (roofs) that were not included in the standard Bing imagery and therefore missing from OSM.
  • The GIS professionals mentioned above included two analysts with a major GIS vendor, two GIS analysts with different regional conservation authorities, a GIS analyst with a major retail chain, and at least one GIS analyst with a municipal planning department (apologies for lack of exact job titles here). The fact that these, along with our Geography students, had mostly not been exposed to OSM is a concern, which however can be easily addressed by small changes in our curricula or extra-curricular initiatives. I am however a bit concerned as to whether the OSM community will be open to collaborating with the #GIStribe.
  • With reference to the #geowebchat, I’d posit that newbie != newbie. Geographers can contribute a host of expertise around interpreting features on the ground, even if they have “never mapped” (in the OSM sense of “mapping”). Trained GIS experts understand how feature on the ground translate into data items and cannot be considered newbies either. In addition, face-to-face instructions by, and discussion with, experienced OSM contributors would certainly help to achieve a higher efficiency and quality of OSM contributions. In this sense, I am hoping that we will have more crowd-mapping sessions @RyersonU Geography, for Nepal and beyond.

MSA Poster Day 2015

On Wednesday, 29 April 2015, 22 Master of Spatial Analysis (MSA) students presented their research ideas/plans for their major research papers or theses to the Department. The students’ posters represented a mind-blowing diversity of research topics, with the important common denominator of using spatial analysis concepts and techniques. Techniques ranged from self-organizing maps to location-allocation, risk terrain modeling, cluster analysis, and various forms of regression analysis. Proposed tools included ArcGIS, MapInfo, QGIS/PySAL, and R. Finally, the fields of application span sustainable development to informal caregiving, housing deprivation, food access, regional transit planning, road salt usage, traffic injuries, ground-penetrating radar, urban heat island, and book retailing and mall tenant mix. Enjoy studying the following list of all poster titles!

The MSA Best Poster Award 2015 went to Daniel Liadsky for the poster on “Neighbourhood Effects on Fruit and Vegetable Consumption in the Toronto CMA” shown below (click to enlarge). Congratulations, Daniel!!

Notes for #NepalQuake Mapping Sessions @RyersonU Geography

This is an impromptu collection of information to support a series of meetings of Ryerson students, faculty, and alumni of the Department of Geography and Environmental Studies with getting started with OpenStreetMap (OSM) improvements for Nepal. As part of the international OSM community’s response, contributions may help rescuers and first-responders to locate victims of the devastating earthquake.

Information from local mappers: Kathmandu Living Labs (KLL), https://www.facebook.com/kathmandulivinglabs. KLL’s crowdmap for reports on the situation on the ground: http://kathmandulivinglabs.org/earthquake/

Guides on how to get started with mapping for Nepal:

Communications among HOT contributors worldwide: https://kiwiirc.com/client/irc.oftc.net/?nick=mapper?#hot. Also check @hotosm and #hotosm on Twitter.

Things to consider when mapping:

  • When you start editing, you are locking “your” area (tile) – make sure you tag along, save your edits when you are done, provide a comment on the status of the map for the area, and unlock the tile.
  • Please focus on “white” tiles – see a discussion among HOT members on the benefits and drawbacks of including inexperienced mappers in the emergency situation, http://thread.gmane.org/gmane.comp.gis.openstreetmap.hot/7540/focus=7615 (via @clkao)
  • In the meantime (May 3rd), some HOT tasks have been designated for “more experienced mappers” and few unmapped areas are left in other tasks you can however also verify completed tiles or participate in tasks marked as 𔄚nd pass” in order to improve on previous mapping.
  • Don’t use any non-OSM/non-HOT online or offline datasets or services (e.g. Google Maps), since their information cannot be redistributed under the OSM license
  • Don’t over-estimate highway width and capacity, consider all options (including unknown road, track, path) described at http://wiki.openstreetmap.org/wiki/Nepal/Roads. Here is a discussion of the options, extracted from the above-linked IRC (check for newer discussions on IRC or HOT email list):

11:23:18 <ivansanchez> CGI958: If you don’t know the classification, it’s OK to tag them as highway=track for dirt roads, and highway=road for paved roads

11:26:06 <SK53> ivansanchez: highway=road is not that useful as it will not be used for routers, so I would chose unclassified or track

12:31:12 <cfbolz> So track is always preferable, if you don’t have precise info?
12:32:11 <cfbolz> Note that the task instructions directly contradict this at the moment: “highway=road Roads traced from satellite imagery for which a classification has not been determined yet. This is a temporary tag indicating further ground survey work is required.”

Another example of a discussion of this issue: http://www.openstreetmap.org/changeset/30490243

  • Map only things that are there, not those that may/could be there. Example: Don’t map a helipad object if you spot an open area that could be used for helicopter landing, create a polygon with landuse=grass instead (thanks to IRC posters SK53 and AndrewBuck).
  • Buildings as point features vs. residential areas (polygons): To expedite mapping, use landuse=residential, see IRC discussion below.
    />
    More about mapping buildings: http://wiki.openstreetmap.org/wiki/Nepal_remote_mapping_guide
  • Be aware that your edits on OSM are immediately “live” (after saving) and become part of the one and only OSM dataset. In addition, your work can be seen by anyone and may be analyzed in conjunction with your user name and locations (and thus potentially with your personal identity)

Note that I am a geographer (sort of) and GIScientist, but not an OpenStreetMap expert (yet). If you have additions or corrections to the above, let me know!

Ryerson Geographers at AAG 2015

The Department of Geography and Environmental Studies is sending a sizable delegation of researchers down south (or should that be west?) to Chicago, to spread the word about our awesome research in applied and other geographies! The annual meeting of the Association of American Geographers (AAG) also is the premier venue to pick up research trends and network with colleagues representing the full breadth of the discipline.

Here is the “Ryerson program” in detail, with an update to the “Retail and Business Geography I” session. In all, there are about 14 faculty members and 7 students presenting (not including co-authors), and we are involved in 29 sessions (including organizer, chair, panelist, etc.)!

Paper Session: Trees in the City 1: Biophysical Conditions
Tuesday, 4/21/2015 at 8:00 AM
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21902

Abstract Title: The Effectiveness of Tillage Radish® to Improve the Growing Medium for Urban Trees
Author(s):
Shawn Mayhew-Hammond, MASc* – Urban Forest Research & Ecological Disturbance (UFRED) Group, Ryerson University
Andrew A Millward, Ph.D. – Urban Forest Research & Ecological Disturbance (UFRED) Group, Ryerson University

Abstract Title: Virtual Daylighting: Enhancing Arboriculture Consulting Practices Through Tree Root Location with Ground-Penetrating Radar (GPR)
Author(s):
*Vadim Sabetski – Ryerson University
Andrew Millward, Dr. – Ryerson University

Abstract Title: Influence of Organic Mulch on Soil Characteristics in a Forested Urban Park
Author(s):
*Andrew A Millward, Ph.D. – Urban Forest Research & Ecological Disturbance (UFRED) Group, Ryerson University
Todd Irvine, MFC, ISA Certified Arborist – Bruce Tree Expert Company Ltd.

Paper Session: Trees in the City 2: Mapping and Measurement
Tuesday, 4/21/2015 at 10:00 AM
Abstract Title: Enabling Environmental Agents: Can Citytrees Help our Cities Grow?
Author(s):
Nikesh N. Bhagat* – Urban Forest Research & Ecological Disturbance (UFRED) Group, Ryerson University
Andrew A Millward, Ph.D. – Urban Forest Research & Ecological Disturbance (UFRED) Group, Ryerson University
http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=63163

Paper Session: 1457 Geographies of Media III: Multicultural media, international migration, and transnationalism
Tuesday, 4/21/2015, from 12:40 PM – 2:20 PM
Discussant(s): Sutama Ghosh – Ryerson University
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=22272

Paper Session: Trees in the City 4: Human- Forest Relationships
Tuesday, 4/21/2015 at 14:40 PM.
Abstract Title: Assessing Urban Forest Ecosystem Change and the Vulnerability of Ecosystem Service Supply in a Residential Neighborhood
Author(s):
James Steenberg* – Ryerson University
Andrew Millward, PhD – Ryerson University
http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=64090

Paper Session: 2178 Retail and Business Geography I
Wednesday, 4/22/2015, from 8:00 AM – 9:40 AM
Organizer(s):
Tony Hernandez – Ryerson University
Murray Rice – University of North Texas
Chair(s): Tony Hernandez – Ryerson University
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21599

Abstract Title: The Mixed Use Challenge: Turning Tides of Retail Development
Author(s):
Christopher Daniel* – Ryerson University – CSCA
Tony Hernandez, Ph.D. – Ryerson University – CSCA

Abstract Title: The Polarizing Canadian Market: High-end Retail Change
Author(s):
*Stephen Swales – Ryerson University
Wayne Forsythe – Ryerson University

Paper Session: 2184 Biofuels, Bioenergy, and the Emerging Bio-Economy I: Visions
Wednesday, 4/22/2015, from 8:00 AM – 9:40 AM
Organizer(s):
Peter Kedron – Ryerson University
Jennifer Baka – London School of Economics
Kirby Calvert
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21162

Paper Session: 2284 Biofuels, Bioenergy, and the Emerging Bio-Economy II: Landscapes
Wednesday, 4/22/2015, from 10:00 AM – 11:40 AM
Organizer(s):
Peter Kedron – Ryerson University
Jennifer Baka – London School of Economics
Kean Birch – York University
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21518

Paper Session: Geographies of Activism and Protest II
Wednesday, 4/22/2015 at 10:00 AM
Abstract Title: Indigenous Armed Resistance as Activism
Author(s): Valentina Capurri* – Ryerson University
http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=61291

Panel Session: 2278 The Huff Model: from origins to modeling legacy
Wednesday, 4/22/2015, from 10:00 AM – 11:40 AM
Organizer(s):
Tony Hernandez – Ryerson University
Anthony Lea
Daniel A. Griffith – U. of Texas at Dallas
Chair(s): Tony Hernandez – Ryerson University
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21725

Panel Session: 2478 Dr. David Huff: a tribute to his contribution to applied geographical and business research
Wednesday, 4/22/2015, from 1:20 PM – 3:00 PM
Organizer(s):
Tony Hernandez – Ryerson University
John Frazier – Binghamton University
Chair(s): Tony Hernandez – Ryerson University
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21724

Paper Session: 2484 Biofuels, Bioenergy, and the Emerging Bio-Economy III: Transitions I
Wednesday, 4/22/2015, from 1:20 PM – 3:00 PM
Organizer(s):
Peter Kedron – Ryerson University
Kean Birch – York University
Sharmistha Bagchi-Sen – SUNY-Buffalo
Chair(s): Peter Kedron – Ryerson University
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21163

Paper Session: 2584 Biofuels, Bioenergy, and the Emerging Bio-Economy IV: Transitions II
Wednesday, 4/22/2015, from 3:20 PM – 5:00 PM
Organizer(s):
Peter Kedron – Ryerson University
Kirby Calvert
Jennifer Baka – London School of Economics
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21517

Abstract Title: Geographies of bioenergy from corn to high-tech biofuels
Author(s): Peter Kedron* – Ryerson University

Paper Session: Land Use Change and Ecosystem Services
Wednesday, 4/22/2015 at 17:20 PM.
Abstract Title: Spatiotemporal patterns and landscape metrics on First Nation reserves: The case of southern Ontario
Author(s): Eric Vaz* – Ryerson University
http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=64724

Paper Session: Immigrants, ethnicity, gender, race and health disparities in North American Cities
Thursday, 4/23/2015 at 8:00 AM.
Abstract Title: Composition and locational strategies of International Medical Graduates (IMGs) in Canada
Author(s):
Lu Wang* – Ryerson University
Jacob Levy – Ryerson University
http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=63112

Panel Session: 3132 Immigration and Law, Migrant Activism, ‘Citizenship after Orientalism’
Thursday, 4/23/2015, from 8:00 AM – 9:40 AM
Discussant(s):
Leif Johnson
Harald Bauder – Ryerson University
Pierpaolo Mudu – University of Washington – Tacoma
Sutapa Chattopadhyay – UNU-Merit & Maastricht University
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21859

Panel Session: 3178 Faculty Opportunities for Research and Teaching in Location Intelligence
Thursday, 4/23/2015, from 8:00 AM – 9:40 AM
Organizer(s):
Murray Rice – University of North Texas
Tony Hernandez – Ryerson University
Panelist(s): Tony Hernandez – Ryerson University
Simona Epasto – University of Macerata
William Graves – UNC-Charlotte
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21524

Paper Session: 3276 2nd Special Session Retail aspects in Urban Geography and Urban Planning IV: Spatial impact of key supply and demand trends in retailing
Thursday, 4/23/2015, from 10:00 AM – 11:40 AM
Discussant(s): Tony Hernandez – Ryerson University
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=22018

Paper Session: Weather, Climate, and Health IV: Interventions and Solutions
Thursday, 4/23/2015 at 15:20 PM
Abstract Title: An analysis of the influence of multi-scalar characteristics of city trees on microclimatic variation within Toronto’s urban forest: a hierarchical approach
Author(s):
Christopher Greene* – Ryerson University
Peter J. Kedron, PhD – Ryerson University
http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=67177

Paper Session: 4102 Retail and Business Geography II
Friday, 4/24/2015, from 8:00 AM – 9:40 AM
Organizer(s):
Tony Hernandez – Ryerson University
Murray Rice – University of North Texas
Chair(s): Tony Hernandez – Ryerson University
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=22641

Abstract Title: Location Strategies of Foreign Retailers in Canada
Author(s):
Joseph Aversa* – Ryerson University
Tony Hernandez – Ryerson University

Abstract Title: Reconstructing Target’s Location Strategy in Canada
Author(s):
*Peter Pavlakidis, MSA – Environics Analytics
Shuguang Wang, Dr. – Co-Presenter

Abstract Title: Rethinking Retail Geography
Author(s): Tony Hernandez* – Ryerson University

Panel Session: 4202 Rethinking Ethnic Entrepreneurship
Friday, 4/24/2015, from 10:00 AM – 11:40 AM
Organizer(s):
Antonie Schmiz – Goethe-Universitaet Frankfurt a.M.
Tony Hernandez – Ryerson University
Panelist(s):
Shuguang Wang – Ryerson University
Zhixi Zhuang – Ryerson University
Felicitas Barbara Hillmann – Free University Berlin
Veronique Schutjens – University of Amsterdam, The Netherlands
Linda Szabó – Central European University
Charlotte Rauchle – Humboldt-University Berlin, Geography Department
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21603

Paper Session: Food Networks and Politics I: Urban Scenarios
Friday, 4/24/2015 at 10:00 AM.
Abstract Title: Food Consumption and the Retail Food Environment: Examining Toronto’s Food Scapes
Author(s):
Daniel Liadsky* – Ryerson University
Brian Ceh – Ryerson University
http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=68349

Poster Session: Geographic Information Science and Technology (GIS&T) Poster Session
Friday, 4/24/2015 at 10:00 AM
http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=69026

Abstract Title: Conceptualizing Volunteered Geographic Information and the Participatory Geoweb
Author(s):
Victoria Fast* – Ryerson University
Claus Rinner – Ryerson University
Blake Byron Walker – Simon Fraser University

Abstract Title: The Role of Maps and Composite Indices in Place-Based Decision-Making
Author(s):
Claus Rinner* – Ryerson University, Geography
Heather Hart – Ryerson University, Geography
Meghan McHenry – Ryerson University, Geography
Carmen Huber – Ryerson University, Geography
Duncan MacLellan – Ryerson University, Politics

Panel Session: 4437 The Housing and Economic Experiences of Immigrants in U.S. and Canadian Cities
Friday, 4/24/2015, from 1:20 PM – 3:00 PM
Panelist(s):
Margaret W. Walton-Roberts – Wilfrid Laurier University
Wan Yu – Arizona State University
Sutama Ghosh – Ryerson University
John Frazier – Binghamton University
John Miron – University of Toronto
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=22612

Paper Session: Restore Urban River’s Water Quality to Swimmable/Fishable
Friday, 4/24/2015 at 13:20 PM
Abstract Title: Using Geospatial Techniques for Water Research: Disinfection Byproducts in Drinking Water in Ontario, Canada
Author(s):
Brian Ceh* – Ryerson University
Mary Grunstra – Ryerson University
Eric Vaz – Ryerson University
http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=66101

Panel Session: 4513 Student Opportunities for Study and Career Development in Location Intelligence
Friday, 4/24/2015, from 3:20 PM – 5:00 PM
Organizer(s):
Murray Rice – University of North Texas
Tony Hernandez – Ryerson University
Simona Epasto – University of Macerata
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21527

Paper Session: Mental Health Geographies
Saturday, 4/25/2015 at 8:00 AM
Abstract Title: Crowd mapping mental health promotion through the Thought Spot project
Author(s):
Heather A Hart* – Ryerson University
Victoria Fast – Ryerson University
http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=67972

Paper Session: Dialectics in Geography: Opportunities and Limitations
Saturday, 4/25/2015 at 14:00 PM
Abstract Title: Reflections on Dialectics as Theory and/or Method
Author(s): Harald Bauder* – Ryerson University
http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=61298

Panel Session: 5531 Radical teaching
Saturday, 4/25/2015, from 4:00 PM – 5:40 PM in Columbian, Hyatt, West Tower, Bronze Level
Panelist(s):
Harald Bauder – Ryerson University
Sutapa Chattopadhyay – UNU-Merit & Maastricht University
Pierpaolo Mudu – University of Washington – Tacoma
http://meridian.aag.org/callforpapers/program/SessionDetail.cfm?SessionID=21860

Paper Session: The Role of Geography in Shaping Sustainability Agendas in the Higher Education – session 2
Saturday, 4/25/2015 at 16:00 PM.
Abstract Title: Examining Patterns of Sustainability Across Europe: A Multivariate and Spatial Assessment of 25 Composite Indices
Author(s): Richard Ross Shaker, Ph.D.* – Ryerson University
http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=61926

About Quick-Service Mapping and Lines in the Sand

A walk on the beach along the still-frozen Georgian Bay has helped me sort some thoughts regarding fast food cartography, quick-service mapping, and naturally occurring vs. artificial lines in the sand … but first things first: This post refers to a debate about Twitter mapping and neo-cartography that is raging on blogs across the planet and will flare up in the Geoweb chat on Twitter this Tuesday, https://twitter.com/hashtag/geowebchat. Update: #geowebchat transcript prepared by Alan McConchie available at http://mappingmashups.net/2015/04/07/geowebchat-transcript-7-april-2015-burger-cartography/.

Lines in the sand (Photos: Claus Rinner)

A few days ago, The Atlantic’s CityLab published an article entitled “Why Most Twitter Maps Can’t Be Trusted”, http://www.citylab.com/housing/2015/03/why-most-twitter-maps-cant-be-trusted/388586/. There have been other cautions that Twitter maps often just show where people live or work – and thus where they tweet. Along similar lines, a comic at xkcd illustrates how heatmaps of anything often just show population concentrations – “The business implications are clear!”, https://xkcd.com/1138/.

The CityLab article incited Andrew Hill, senior scientist at CartoDB and mapping instructor at New York University, to respond with a polemic “In defense of burger cartography”, http://andrewxhill.com/blog/2015/03/28/in-defense-of-burger-cartography/. In it, Hill replies to critics of novel map types by stating “The dogma of cartography is certain to be overturned by new discoveries, preferences, and norms from now until forever.” He likens the good people at CartoDB (an online map service) with some action movie characters who will move cartography beyond its “local optima [sic]”. Hill offers his personal label for the supposedly-new “exploratory playfulness with maps”: burger cartography.

/> Examples of CartoDB-based tweet maps in the media (Source: Taylor Shelton)

The core portion of Hill’s post argues that CartoDB’s Twitter maps make big numbers such as 32 million tweets understandable, as in the example of an animated map of tweets during the 2014 soccer world cup final. I find nothing wrong with this point, as it does not contradict the cautions against wrong conclusions from Twitter maps. However, the rest of Hill’s post is written in such a derogatory tone that it has drawn a number of well-thought responses from other cartographers:

  • Kenneth Field, Senior Cartographic Product Engineer at Esri and an avid blogger and tweeter of all things cartography, provides a sharp, point-by-point rebuttal of Hill’s post – lamenting the “Needless lines in the sand”, http://cartonerd.blogspot.co.uk/2015/03/needless-lines-in-sand.html. The only point I disagree with is the title, since I think we actually do need some lines in the sand (see below).
  • James Cheshire, Lecturer and geospatial visualization expert at University College London, Department of Geography, supports “Burger Cartography”, http://spatial.ly/2015/03/burger-cartography/, but shows that “Hill’s characterisation of cartography … is just wrong”.
  • Taylor Shelton, “pseudopositivist geographer”, PhD candidate at Clark University, and co-author of the study that triggered this debate, writes “In defense of map critique”, https://medium.com/@kyjts/in-defense-of-map-critique-ddef3d5e87d5. Shelton reveals Hill’s oversimplification by pointing to the need to consider context when interpreting maps, and to the “plenty of other ways that we can make maps of geotagged tweets without just ‘letting the data speak for themselves’.”

Extending the fast food metaphor, CartoDB can be described as a quick-service mapping platform – an amazing one at that, which is very popular with our students (more on that in a future post). I am pretty sure that CartoDB’s designers and developers generally respect cartographic design guidelines, and in fact have benefited commercially from implementing them. However, most of us do not live from fast food (= CartoDB, MapBox, Google Maps) alone. We either cook at home (e.g., R with ggplot2, QGIS see my previous post on recent Twitter mapping projects by students) or treat ourselves to higher-end cuisine (e.g., ArcMap, MapInfo, MAPublisher), if we can afford it.

I fully expect that new mapping pathways, such as online public access to data and maps, crowdmapping, and cloud-based software-as-a-service, entail novel map uses, to which some existing cartographic principles will not apply. But dear Andrew Hill, this is a natural evolution of cartography, not a “goodbye old world”! Where the established guidelines are not applicable, we will need new ones – surely CartoDB developers and CartoDB users will be at the forefront of making these welcome contributions to cartography.

MacEachren’s Some Truth with Maps (Source: Amazon.com)

While I did not find many naturally occurring lines in the Georgian Bay sand this afternoon, I certainly think society needs to draw lines, including those that distinguish professional expertise from do-it-yourselfism. I trust trained map-makers (such as our Geographic Analysis and Spatial Analysis graduates!) to make maps that work and are as truthful as possible. We have a professional interest in critically assessing developments in GIS and mapping technologies and taking them up where suitable. The lines in the sand will be shifting, but to me they will continue to exist: separating professional and DIY cartographers, mapping for presentation of analysis results vs. exploratory playing with maps, quantitative maps vis-a-vis the map as a story … Of course, lines in the sand are pretty easy to cross, too!

Twitter Analytics Experiments in Geography and Spatial Analysis at Ryerson

In my Master of Spatial Analysis (MSA) course “Cartography and Geographic Visualization” in the Fall 2014 semester, three MSA students experimented with geospatial analysis of tweets. This post provides a brief account of the three student projects and ends with a caution about mapping and spatially analyzing tweets.

Yishi Zhao wrote her “mini research paper” assignment about “Exploring the Thematic Patterns of Twitter Feeds in Toronto: A Spatio-Temporal Approach”. Yishi’s goal was to identify the spatial and thematic patterns of geolocated tweets in Toronto at different times of day, as well as to explore the use of R for spatio-temporal analysis of the Twitter stream. Within the R platform, Yishi used the streamR package to collect geolocated tweets for the City of Toronto and mapped them by ward using a combination of MapTools, GISTools, in QGIS. Additionally, the tm package was used for text mining and to generate word clouds of the most frequent words tweeted at different times of the day.

Toronto tweets per population at different times of day – standard-deviation classification (Source: Yishi Zhao) Frequent words in Toronto tweets at different times of day (Source: Yishi Zhao)

One general observation is that the spatial distribution of tweets (normalized by residential population) becomes increasingly concentrated in downtown throughout the day, while the set of most frequent words expands (along with the actual volume of tweets, which peaked in the 7pm-9pm period).

MSA student Alexa Hinves pursued a more focused objective indicated in her paper’s title, “Twitter Data Mining with R for Business Analysts”. Her project aimed to examine the potential of geolocated Twitter data towards branding research using the example of singer Taylor Swift’s new album �”. Alexa explored the use of both, the streamR in twitteR packages in R. The ggplot2, maps, in wordcloud packages were used for presentation of results.

Distribution of geolocated tweets and word cloud referring to Taylor Swift (Source: Alexa Hinves)

Alexa’s map of 1,000 Taylor Swift-related tweets suffers from a challenge that is common to many Twitter maps – they basically show population distribution rather than spatial patterns that are specific to tweet topics or general Twitter use. In this instance, we see the major cities in the United States lighting up. The corresponding word cloud (which I pasted onto the map) led Alexa to speculate that businesses can use location-specific sentiment analysis for targeted advertising, for example in the context of product releases.

The third project was an analysis and map poster on “#TOpoli – Geovisualization of Political Twitter Data in Toronto, Ontario”, completed by MSA cand. Richard Wen. With this project, we turn our interest back to the City of Toronto and to the topic of the October 2014 municipal election. Richard used similar techniques as the other two students to collect geolocated tweets, the number of which he mapped by the 140 City neighbourhoods (normalized by neighbourhood area – “bubble map” at top of poster). Richard then created separate word clouds for the six former municipalities in Toronto and mapped them within those boundaries (map at bottom of poster).

#TOpoli map poster – spatial pattern and contents of tweets in Toronto’s mayoral election 2015 (Source: Richard Wen)

Despite the different approach to normalization (normalization by area compared to Yishi’s normalization by population), Richard also finds a concentration of Twitter activity in downtown Toronto. The word clouds contain similar terms, notably the names of the leading candidates, now-mayor John Tory and candidate Doug Ford. An interesting challenge arose in that we cannot tell just from the word count whether tweets with a candidate’s name were written in support or opposition to this candidate.

The three MSA students used the open-ended cartography assignment to acquire expertise in a topic that is “trending” among neo-cartographers. They have already been asked for advice by a graduate student of an environmental studies program contemplating a Twitter sentiment analysis for her Master’s thesis. Richard’s project also led to an ongoing collaboration with journalism and communication researchers. However, the most valuable lesson for the students and myself was an increased awareness of the pitfalls of analyzing and mapping tweets. These pitfalls stem from the selective use of Twitter among population subgroups (e.g., young professionals globally the English-speaking countries), the small proportion of tweets that have a location attached (less than 1% of all tweets by some accounts), and the limitations imposed by Twitter on the collection of free samples from the Twitter stream.

I have previously discussed some of these data-related issues in a post on “Big Data – Déjà Vu in Geographic Information Science”. An additional discussion of the cartography-related pitfalls of mapping tweets will be the subject of another blog post.

A Raster-Based Game of Life Using Python in QGIS

Blog post authored by Richard Wen and Claus Rinner

A great way to demonstrate the manipulation of geospatial raster data is Conway’s Game of Life [1]. The “game” starts with a grid (“board”) of binary cells, which represent either alive (populated) or dead (empty) states. Each cell interacts with its eight adjacent neighbours to determine its next state. At each iteration of the game clock, the following rules are applied [1]:

  • A live cell with less than two or more than three live neighbours dies (under-population, overcrowding).
  • A live cell with two or three live neighbours continues to live.
  • A dead cell with three live neighbours becomes alive (reproduction).

The free and open-source Geographic Information System (GIS) software package QGIS [2] offers support for scripting with the Python programming language (pyQGIS module), which enables the use of powerful libraries such as NumPy and GDAL for dealing with raster data. Numerical Python (NumPy) [3] is a package developed for Python that is geared towards scientific computation with support for multi-dimensional arrays and matrices. The Geospatial Data Abstraction Library (GDAL) [4] is a library for translating raster and vector geospatial data formats available as a binding for Python.

Using NumPy, GDAL, and pyQGIS, we implemented the Game of Life, where NumPy manipulates the arrays, GDAL handles reading and writing of the raster data, and pyQGIS visualizes the rasters and their relative changes. The source code was written by Master of Spatial Analysis student Richard Wen with input from Dr. Claus Rinner and is available at https://github.com/rwenite/QGIS_RasterArray. The project was inspired by Anita Graser’s visit to Ryerson’s Lab for Geocomputation in October 2014, during which Anita developed a vector-based version of the Game of Life in QGIS (see http://anitagraser.com/2014/11/16/more-experiments-with-game-of-life/).

Our implementation takes an object-oriented approach, in which an object of a Game of Life class is instantiated and the gaming board is updated with the cycle() method using the QGIS python console. The core function is the manipulation of individual raster cells based on a coded algorithm – in this case, the rules defined by the Game of Life.

Let’s start by initializing and cycling a gaming board using default parameters:

The gaming board may be initialized with a random raster, a filled raster, a custom raster, or from a pre-defined raster file:


Computer Policies

Computer Use

  • 16 computers are available in the lab during Rotch's operating hours and require an MIT Athena login. The lab may occasionally be closed for workshops. Information will be posted on our website.
  • Computers can be used by members of the MIT community only.
  • Use of installed software on the computers takes priority over other uses of the machines.
  • Upon logging off, the Documents, Downloads and Desktop will be cleared of files. The shared drives can be used for temporary data storage. Create a folder using your kerberos name. For help with data management or storage, contact Data Management Services.
  • Per the Libraries' Food and Beverage Policy, food and uncovered drinks are not allowed near computer terminals.

Extended Analysis / Computation

Navodila

The GIS & Data lab computers are primarily for those actively working with GIS or analysis software. Computers #13-#16 can be used to run analysis and computation tasks for an extended amount of time in certain circumstances. Follow these procedures:

  1. Email [email protected] to reserve a computer BEFORE you use it. Tell us:
    • your name
    • the dates you would like to use the computer (cannot exceed 1 week)
    • a sentence about the work you will be doing
    • software you would like installed
      • Note that all software licenses need to be reviewed by our licensing staff and installed by our tech support team. It may take weeks or months before requested software is available.
  2. GIS staff will review the request. If approved, staff will tell you which computer to use and send you a form to complete, print, and place on the computer while it is in use. A printer is available on 2nd (main floor) of Rotch.
  3. On the first day of your reservation, once your analysis is running, lock the computer.
  4. Place the form on the keyboard.
  5. As soon as your analysis is finished, transfer all data off the computer and delete it. Unlock the computer and remove the sign so others can use it. If you need to use the computer after your reservation has ended, email [email protected] to request an extension.
Policies
  • A reservation is required if you will not be actively using a computer. Computers that are locked but have no reservation will be restarted.
  • Analysis must be for MIT-related work. Projects using software already installed on the computers take priority.
  • Reservations cannot be made for more than 1 week, but it may be possible to extend a reservation with permission from GIS staff if the computer is not needed by others. You may be asked by GIS staff to end an analysis if the machines are needed for other users or classes.
  • If you do not return on the last day of your reservation to unlock the computer, it will be restarted so that others may use it.
  • GIS staff are not responsible for monitoring the analysis. The GIS & Data lab is open to all MIT community members. Computers could inadvertently get re-started or unplugged.

Building change detection through multi-scale GEOBIA approach by integrating deep belief networks with fuzzy ontologies

Monitoring and mapping urban changes is of great importance for the development, planning and management of the urban zone, especially in countries with a rapidly growing urban area. The aim of this paper was to develop a GEographic Object-Based Image Analysis (GEOBIA) approach, by integrating Deep Learning classification and Fuzzy Ontologies through multi-scale analysis, to monitor building changes in suburban areas of Greece. Three suburban areas of east Attica, Greece were selected as representative to test the methodology. For each area, one QuickBird and one WorldView 2 image, taken in 2006 and 2011, respectively, were employed. Three segmentation levels and a three-level class hierarchy were developed for the extraction process. Deep Belief Networks were employed on the lowest level of the segmentation hierarchy (Level 1) for an initial detection of areas of possible change. To detect the changes in building infrastructure, the classification result of Level 1 was refined based on interpretation rules, developed on the upper levels of the hierarchy (Level 2 and Level 3). Accuracy assessment indicated that 93.5% of the total number of changes were successfully detected, while the commission error was less than 20%.

Acknowledgements

The authors would like to thank the anonymous reviewers for their constructive comments which improved considerably the quality of the final manuscript.


Poglej si posnetek: QGIS: Heat Maps